Cloud Pak for Data Community Blog

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IBM Cloud Pak for Data (CP4D) — a Redhat Openshift-based Data & Machine Learning (ML)/Artificial Intelligence (AI) platform offers various capabilities from data collection to deploying ML/AI models in production. It allows you to solve your end to end data science use case ...
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Steps required before running this installer: Provision Openshift cluster. The minimum recommended configuration is a 3 node cluster with each node with 16 CPUs and 64GB of memory. Make sure the cluster is able to connect to the Internet. It is required for pulling the pod ...
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The following videos show how you can use the Customer Segmentation accelerator in IBM Cloud Pak for Data to go beyond the traditional demographic markers, such as age, income, and gender to identify meaningful customer segments.  Jenny, a data scientist, is tasked with ...
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The following videos show how you can use the Customer Churn Prediction accelerator in IBM Cloud Pak for Data to identify customers who have are likely to churn. Nicole, a data scientist, is tasked with identifying the customers who are likely to take their business elsewhere ...
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In addition to a new name, IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) version 2.1 has exciting new features and enhancements. Key enhancements Multi-tenancy architecture Different areas of your organization can share the same cluster ...
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Welcome to the IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) community. This post is will provide you with a brief overview navigating the community and some of the best places to continue learning about Cloud Pak for Data. If you are not yet a member, please click ...
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Dear IBM Community Members: In the last week, our communities have experienced several spam attacks.  We are working diligently to stop these attacks from interfering with your feeds, forums, and daily digest emails.  We apologize for any inconvenience this has caused, and thank ...
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Customers need to be empowered with the ability to manage and gain insights from many disparate data sources, or a hybrid multi-database environment. In June, we addressed this by announcing  the inclusion of MongoDB in our enterprise database ecosystem to support modern day application ...
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Do you really know me ?

Identity fraud isn’t a new topic. It costs government agencies/businesses a lot of money. As shown above, it is important to look proactively for scenarios where one person is pretending to be different people to benefit from different social programs. This fraud costs the taxpayer. ...
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Introducing IBM Cloud Private Experiences

I’m extremely excited to introduce IBM Cloud Private Experiences . This is an opportunity for you to take ICP for Data for a test drive without installation or cost. With a simple click of a button, you provision your own ICP for Data environment and have the option of following ...
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Many CEOs see Artificial Intelligence (AI) and Machine Learning (ML) as a key component to gaining competitive advance in their respective marketplaces. A 2017 survey of Fortune 500 CEO’s found that 81% of the respondents listed AI/Machine Learning as a “critical area of investment”, ...
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Caption "Technology is the coordinated application of a set of knowledge (science) and skills (technique) in order to create a (technological) solution that allows human beings to meet their needs or solve their problems.”  Then we will explain the definition step by step. ...
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The Process of True Integration

In the last few years, IBM Analytics has built a rich set of capabilities that help thousands of enterprises turn data into decisions.  We’ve done this in three important ways: Hybrid Data Management has allowed our data repositories to efficiently collect and store ...
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